16 results for “topic:realtime-streaming”
🐮 The SDK to build AI agents as distributed, orchestratable microservices
Ecommerce Realtime Data Pipeline (Data Modeling, Workflow Orchestration, Change Data Capture, Analytical Database and Dashboarding)
This repository contains an Apache Flink application for real-time sales analytics built using Docker Compose to orchestrate the necessary infrastructure components, including Apache Flink, Elasticsearch, and Postgres
Real time face detection and recognition system supports multiple cameras streaming
A Real Time Streaming App example for dolby.io
Setup for realtime data streaming using Kafka, Flink, Pinot, MySQL, Postgres and Superset
IBM Call for Code 2025
whodunit-chronicles - the complete historical record of your data of whodunit did what
A demo Next.js app integrating Mux for seamless video uploads, adaptive playback with MuxPlayer, and webhook syncing.
Ai FnB Service & Menu Training Assistant Powered by Gemini & Google Cloud
This project provides a real-time speech-to-speech translation system using Deepgram for speech recognition, LangChain for language translation, and ElevenLabs for voice synthesis. All without using Openai's Realtime model.
A high-performance, GPU-optimized real-time speech-to-text (STT) streaming server built with WebSocket support for multiple concurrent clients. This project leverages the Kyutai STT model and is optimized for NVIDIA RTX 4090 GPUs, providing low-latency transcription for audio streams.
Exploring WebRTC for the first time with peer-to-peer (P2P) and mesh networking. This project aims to establish real-time communication using direct connections and mesh topologies. Perfect for understanding WebRTC fundamentals.
A comprehensive end-to-end real-time data streaming pipeline using Apache Airflow, Kafka, Spark, and Cassandra, containerized with Docker.
🚀 Streamline real-time geospatial analytics for MBTA using Kafka, Spark, and MongoDB, delivering live vehicle status and insights via a dynamic web interface.
Low-Latency Event-Time Analytics: Kafka + Spark Structured Streaming + deck.gl